Abstract | ||
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In our paper we discuss some of the problems of camera independent motion dection and propose the use of a qualitative method based on the projections of the optical flow. By applying several projections of the optical flow and using a voting mechanism we can increase the performance of motion detection: the F-measure, examined on 20 artificial and real-life test videos, was increased with about 10-25% in general compared to the average performance of individual projections. |
Year | DOI | Venue |
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2012 | 10.1007/978-3-642-33564-8_40 | ICCVG |
Keywords | Field | DocType |
qualitative method,optical flow projection,independent motion detection,voting mechanism,directional vote,motion detection,average performance,real-life test video,optical flow,individual projection,camera independent motion dection,detectability,corner detection | Computer vision,Motion field,Motion detection,Corner detection,Voting,Pattern recognition,Computer science,Artificial intelligence,Motion analysis,Motion estimation,Optical flow | Conference |
Volume | ISSN | Citations |
7594 | 0302-9743 | 0 |
PageRank | References | Authors |
0.34 | 10 | 2 |
Name | Order | Citations | PageRank |
---|---|---|---|
László Czuni | 1 | 68 | 13.41 |
Mónika Gál | 2 | 5 | 1.86 |